BEEILAB's repositories
LULC-Classification-Using-Machine-learning
This repository will guide you how to use machine learning algorithms for land use land cover classification using Sentinel-2 data.
LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
Attention-Mechanism
Here, you can find some code implementation of the attention mechanisms.
Basic-Python-Programming-Language
Explore the world of Python programming with BE E ILAB's collection of insightful tutorials! This repository contains code examples and materials from our engaging video tutorials, covering a range of topics. Join us on GitHub for a deeper understanding of programming concepts and their real-world applications!
Matplotlib-data-visualization-course
Welcome to the full data visualization course using the Matplotlib library on Jupyter Notebook and Python. This playlist provides a full tutorial about all types of plots using Matplotlib.
Publications
Welcome to the BEEILAB Publications Repository! This comprehensive collection houses the code implementations, datasets, and supplementary materials associated with the groundbreaking research published by the Beyond Earth's Eyes & Intelligence Lab (BEEILAB).
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.